Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 4695 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0709. Min Act: -0.0002

Data Index: 1256178 (C4 (Web Text))

Max Activating Token Index: 263

Text #1

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Data Index: 854599 (C4 (Web Text))

Max Activating Token Index: 141

Text #2

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Max Act: 0.0666. Min Act: -0.0002

Data Index: 825229 (C4 (Web Text))

Max Activating Token Index: 691

Text #3

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Max Act: 0.0701. Min Act: -0.0002

Data Index: 947917 (C4 (Web Text))

Max Activating Token Index: 697

Text #4

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Max Act: 0.0672. Min Act: -0.0002

Data Index: 1067074 (C4 (Web Text))

Max Activating Token Index: 522

Text #5

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Data Index: 992486 (C4 (Web Text))

Max Activating Token Index: 879

Text #6

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Data Index: 103414 (C4 (Web Text))

Max Activating Token Index: 504

Text #7

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Max Activating Token Index: 329

Text #8

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Max Activating Token Index: 94

Text #9

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Max Activating Token Index: 632

Text #10

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Data Index: 716748 (C4 (Web Text))

Max Activating Token Index: 480

Text #11

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Max Activating Token Index: 332

Text #12

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Data Index: 255927 (C4 (Web Text))

Max Activating Token Index: 202

Text #13

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Data Index: 1129069 (C4 (Web Text))

Max Activating Token Index: 426

Text #14

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Text #15

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Max Activating Token Index: 344

Text #16

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Max Activating Token Index: 912

Text #17

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Max Activating Token Index: 222

Text #18

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Max Activating Token Index: 871

Text #19

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Data Index: 503290 (C4 (Web Text))

Max Activating Token Index: 265